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Suhwan Lee
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Autoencoders for improving quality of process event logs
HTC Nguyen, S Lee, J Kim, J Ko, M Comuzzi
Expert Systems with Applications 131, 132-147, 2019
472019
Explainable predictive process monitoring: a user evaluation
W Rizzi, M Comuzzi, C Di Francescomarino, C Ghidini, S Lee, FM Maggi, ...
arXiv preprint arXiv:2202.07760, 2022
92022
Exploring the suitability of rule-based classification to provide interpretability in outcome-based process predictive monitoring
S Lee, M Comuzzi, N Kwon
Algorithms 15 (6), 187, 2022
42022
The analysis of online event streams: Predicting the next activity for anomaly detection
S Lee, X Lu, HA Reijers
International Conference on Research Challenges in Information Science, 248-264, 2022
32022
Continuous performance evaluation for business process outcome monitoring
S Lee, M Comuzzi, X Lu
International Conference on Process Mining, 237-249, 2021
22021
Predicting outpatient process flows to minimise the cost of handling returning patients: A case study
M Comuzzi, J Ko, S Lee
Business Process Management Workshops: BPM 2019 International Workshops …, 2019
22019
Measuring the Stability of Process Outcome Predictions in Online Settings
S Lee, M Comuzzi, X Lu, HA Reijers
2023 5th International Conference on Process Mining (ICPM), 105-112, 2023
2023
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